Performing Advanced Analytics on Relational Data with Spark SQL / Armbrust, Michael.

Format:

Video

Author/Creator:

Armbrust, Michael, author.

Language:

English

Subjects (All):

SQL (Computer program language).

Web usage mining.

Database management.

Databases--Design.

Databases.

Genre:

Electronic videos.

Physical Description:

1 online resource (1 video file, approximately 41 min.)

Edition:

1st edition

Place of Publication:

O'Reilly Media, Inc., 2014.

System Details:

video file

Summary:

In this event, we'll examine Spark SQL, a new Alpha component that is part of the Apache Spark 1.0 release. Spark SQL lets developers natively query data stored in both existing RDDs and external sources such as Apache Hive. A key feature of Spark SQL is the ability to blur the lines between relational tables and RDDs, making it easy for developers to intermix SQL commands that query external data with complex analytics. In addition to Spark SQL, we'll explore the Catalyst optimizer framework, which allows Spark SQL to automatically rewrite query plans to execute more efficiently.

Participant:

Presenter, Michael Armburst.

Notes:

Title from title screen (viewed Aug. 4, 2014).

Online resource; Title from title screen (viewed July 1, 2014)

OCLC:

885819473